(Useful for Data Mining, Machine Learning, Data Science and Data Analytics courses)
Reading the file - Encoding Error,Inconsistent rows
Inconsistent Column Names - Change Cases, Rename them
Handeling Missing Data - Add a default value for missing data or use mean,median or mode to fill it, Delete the row/column with missing data,Interpolate the rows, Replace
Different Data Types/ Data Format
Duplicate rows - Dropping Duplicates
Data Types Inconsistencies- Change datatype after reading the csv, Change datatype before reading the csv
etc.